CaverDock: A Novel Method for the Fast Analysis of Ligand Transport

TL;DR

CaverDock is a fast, computationally efficient method that analyzes ligand transport in proteins by combining modified docking algorithms with energy profiling, bridging geometrical and molecular dynamics approaches.

Contribution

It introduces a novel, energy-based ligand transport analysis method that is less demanding than molecular dynamics and easier to implement than geometrical approaches.

Findings

Provides ligand trajectories and energy profiles for transport processes.

Uses a modified AutoDock Vina with parallel heuristic search.

Balances accuracy and computational efficiency for protein-ligand studies.

Abstract

Here we present a novel method for the analysis of transport processes in proteins and its implementation called CaverDock. Our method is based on a modified molecular docking algorithm. It iteratively places the ligand along the access tunnel in such a way that the ligand movement is contiguous and the energy is minimized. The result of CaverDock calculation is a ligand trajectory and an energy profile of transport process. CaverDock uses the modified docking program Autodock Vina for molecular docking and implements a parallel heuristic algorithm for searching the space of possible trajectories. Our method lies in between the geometrical approaches and molecular dynamics simulations. Contrary to the geometrical methods, it provides an evaluation of chemical forces. However, it is far less computationally demanding and easier to set up compared to molecular dynamics simulations. CaverDock will find a broad use in the fields of computational enzymology, drug design and protein engineering. The software is available free of charge to the academic users at https://loschmidt.chemi.muni.cz/caverdock/.